A forward deployed engineer does not work from a ticket queue. They sit inside your team, with your context, and take a problem from "we need this" to running in production. They talk to your people, decide what to build, direct the AI that builds it, review every gate, and stay accountable for the result.
A product engineer builds one capability for many customers. A forward deployed engineer builds many capabilities for one customer.
Years shipping production systems, so the review on each gate is informed judgment.
They direct code-generating agents daily. Writing code by hand is the exception, and they know when to reject what the agent produced.
They work fluently in a large codebase they did not write, ship changes that pass its tests, and solve problems they have never seen by directing their AI.
They sit in your standups, explain trade-offs to non-technical stakeholders, and disagree with an argument when that is the right call.
Same AI-generated, reviewed delivery in every mode. What changes is how deep the engineer sits in your team.
The engineer embeds, runs discovery, owns the spec, directs and reviews the AI, and operates the result.
Our full-code-generation engineers join your team and ship inside your sprints. AI-generated, expert-directed and reviewed.
Specialists who turn the manual and repetitive parts of your SDLC (testing, CI/CD, integrations, data plumbing, releases, internal tools) into AI-driven automation, and ship application code too.
We map the problem and define one observable result. You leave knowing which shape of embed it takes.
They join your channels, your repo and your standups.
The first working piece sets the rhythm and shows the fit early, before anyone commits to a long engagement.
The system runs, documented and tested, and your team can operate it without us.
Engineering in time zones aligned with your working day.
Production features inside your product. Internal tools and automations. AI capabilities in what you already sell: retrieval, copilots, in-product agents. Integrations between systems that do not talk to each other. And the QA automation that protects all of it on every change.
The system running in production against the observable result defined in the working session. The spec it was built against and the tests that prove it, running in your CI. The code and the repository, including history. The IP. No license back to us and no runtime dependency on anything of ours. The engineering brain of what was built: decisions, rules and tests, connected, so whoever continues it starts with context. If you later grow a Company Brain, this is already a module of it.
Done means: the observable result defined in the working session, measured.
If you later grow a Company Brain, what was built here is already a module of it.
Learn about the Brain →One working session: we map the problem, define the observable result, and tell you which shape of embed it takes.